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Research Scientist Intern, Spatial Audio Capture and Reproduction (PhD)

Redmond, WA
Machine Learning C# Python Matlab PyTorch Unreal C++ TensorFlow Unity
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Description
The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives. In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. See more about our work here: https://tech.fb.com/inside-facebook-reality-labs-research-the-future-of-audio/. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart and allow them to converse in even the most difficult listening environments. The Augmented Capture research team of the Meta Reality Labs Audio is seeking interns to help us create unique audio experiences for virtually reliving and sharing real life experiences using spatial audio capture. Specific projects will be designed in collaboration with successful applicants to align the intern’s skills and experience with current research needs. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Spatial Audio Capture and Reproduction (PhD) Responsibilities
  • Design and implementation of novel algorithms to solve audio research problems
  • Experimental design, implementation, and execution to evaluate new audio technologies
  • Collaboration with and support of other researchers across audio and acoustic engineering disciplines
  • Communication of research agenda, progress, and results
Minimum Qualifications
  • 1+ years experience working with spatial audio capture algorithms
  • 1+ years experience working with spatial audio capture algorithms
  • Expertise in one or more of the below research areas: Audio signal processing, Binaural audio technology, Microphone array processing, Machine learning for spatial audio applications, Beamforming, Spatial audio evaluation, Spatial audio coding
  • Expertise in one or more of the below research areas: Audio signal processing, Binaural audio technology, Microphone array processing, Machine learning for spatial audio applications, Beamforming, Spatial audio evaluation, Spatial audio coding
  • Coding experience in one or more languages, including but not limited to: C/C++, C#, Python, Max/MSP, or MATLAB
  • Coding experience in one or more languages, including but not limited to: C/C++, C#, Python, Max/MSP, or MATLAB
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Is in the process of obtaining a PhD degree in the field of Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields
  • Is in the process of obtaining a PhD degree in the field of Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields
Preferred Qualifications
  • Experience with real-time multichannel audio processing and coding
  • Experience with real-time multichannel audio processing and coding
  • Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
  • Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
  • Experience with Unity, Unreal, CryEngine, or similar game engines
  • Experience with Unity, Unreal, CryEngine, or similar game engines
  • Proven track record of achieving results as demonstrated in accepted papers in top conferences or journals such as ICASSP, WASPAA, InterSpeech, JASA, JAES, etc.
  • Proven track record of achieving results as demonstrated in accepted papers in top conferences or journals such as ICASSP, WASPAA, InterSpeech, JASA, JAES, etc.
  • Experience working and communicating cross functionally in a team environment
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to a degree-program after the completion of the internship/co-op
  • Intent to return to a degree-program after the completion of the internship/co-op
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$7,800/month to $11,293/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Meta
Meta
Augmented Reality Metaverse Social Media Social Network Virtual Reality

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